To thrive in a Qualcomm Autonomous Driving role, you need a solid background in computer science, electrical engineering, or a related field, with expertise in machine learning, embedded systems, and sensor technologies. Familiarity with industry-standard tools such as ROS, C/C++, Python, and deep learning frameworks like TensorFlow, as well as experience with automotive safety standards (e.g., ISO 26262), is highly desirable. Strong problem-solving, teamwork, and communication skills are crucial for collaborating on complex projects and effectively translating technical findings. These skills are vital to creating reliable autonomous systems and advancing cutting-edge vehicle technologies in a fast-paced industry.